This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Gracenote, Inc.. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Anjana Gopakumar: Innovator in Recommendation Systems
Introduction
Anjana Gopakumar is a notable inventor based in Oakland, California. She has made significant contributions to the field of recommendation systems, particularly through her innovative patent. Her work focuses on enhancing the way recommendations are generated based on various attribute vectors.
Latest Patents
Anjana holds a patent titled "Methods and apparatus to generate recommendations based on attribute vectors." This patent discloses methods and apparatus designed to generate recommendations. It includes an attribute vector aggregator that forms a resultant attribute vector based on an input set of attribute vectors. The set contains at least one of a media attribute vector, an attendee attribute vector, an artist attribute vector, an event attribute vector, or a venue attribute vector. Additionally, the recommendation generator features a vector comparator that performs comparisons between an input attribute vector and other attribute vectors. It also includes a recommendation compiler that creates one or more recommendations of at least one of media, an artist, an event, or a venue based on the comparison.
Career Highlights
Anjana is currently employed at Gracenote, Inc., where she continues to develop her expertise in recommendation technologies. Her innovative approach has positioned her as a key player in her field.
Collaborations
Anjana collaborates with talented individuals such as Aneesh Vartakavi and Carmen Yaiza Rancel Gil, who contribute to her projects and enhance the collaborative environment at Gracenote.
Conclusion
Anjana Gopakumar's work in developing advanced recommendation systems showcases her innovative spirit and dedication to improving user experiences. Her contributions are paving the way for future advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
